Big Data Security Intelligence for Healthcare Industry 4.0

Manogaran, Gunasekaran; Thota, Chandu; Lopez, Daphne; Sundarasekar, Revathi

doi:10.1007/978-3-319-50660-9_5

Cited by 118 publications

(51 citation statements)

References 20 publications

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“…On the one hand, considering the importance of the hospital services rendered to the society, the hospitals need a model driven by the innovation in order to support the increase of the demand in a way that does not harm the future generations. In this sense, there are already initiatives in the health area like the innovation based on the internet of things [71], the healthcare 4.0 [71,72], and the healthcare big data analytics [73].…”

Section: The Proposal Of a Model To Assess The Business Models And Thmentioning

confidence: 99%

The Business Model and Innovation Analyses: The Sustainable Transition Obstacles and Drivers for the Hospital Supply Chains

et al. 2018

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This research aims to discuss the business model themes supported by the innovation regarding the sustainable transition difficulties to promote the hospital supply chains. A model for future applications and empirical analyzes in the health service area is proposed. In the current hospital scenario, the systems are characterized by the individualistic attention of the closed business models, hampering the promotion of the business models, the innovation, and the sustainable transitions as the sustainable supply chain (SSC) enablers. The survey evaluates the private hospital chain in Brazil. The model was evaluated by seven specialists indicated by the main private Brazilian hospitals that are accredited by Joint Commission International and Public Ministry. The discussion presented seeks to advance the observation and the understanding of the relationships among the business models, the innovation, the sustainable transitions, and the sustainable supply chains in the health socioeconomic context through the lens of the service provider, without exhausting these themes separately. The main results are the issues related to the difficulties of sustainable transition to promote the SSC in the hospital context, showing the elements into which the hospitals are inserted and helping to close the gap in the literature on the subject. Sustainable transitions, along with the SSC, present themselves as rich and challenging themes, but are beneficial for conducting dialogues between approaches.

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Section: The Proposal Of a Model To Assess The Business Models And Thmentioning

confidence: 99%

The Business Model and Innovation Analyses: The Sustainable Transition Obstacles and Drivers for the Hospital Supply Chains

et al. 2018

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“…Until now, the collected data from various domains have become the Big Data that have created new critical support for the progress of IoT domains. Indeed, Big data provide flexible, useful and reliable knowledge for improving operations and strategies in various areas, such as automated and intelligent methods for the automotive industry [94,95]. To do that, the IoT applications use cloud platforms to analyze data remotely and then extract the most relevant information that could be used to take more informed actions.…”

Section: Edge Analytics For Big Datamentioning

confidence: 99%

Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions

et al. 2018

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Cloud computing has significantly enhanced the growth of the Internet of Things (IoT) by ensuring and supporting the Quality of Service (QoS) of IoT applications. However, cloud services are still far from IoT devices. Notably, the transmission of IoT data experiences network issues, such as high latency. In this case, the cloud platforms cannot satisfy the IoT applications that require real-time response. Yet, the location of cloud services is one of the challenges encountered in the evolution of the IoT paradigm. Recently, edge cloud computing has been proposed to bring cloud services closer to the IoT end-users, becoming a promising paradigm whose pitfalls and challenges are not yet well understood. This paper aims at presenting the leading-edge computing concerning the movement of services from centralized cloud platforms to decentralized platforms, and examines the issues and challenges introduced by these highly distributed environments, to support engineers and researchers who might benefit from this transition.

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“…They named their approach as "Security-Aware Efficient Distributed Storage (SAEDS)" model. In [29], the authors highlighted the architecture by the name "Meta Cloud-Redirection (MC-R)" for storing big data generated from the sensors concerning healthcare. This architecture alerts the patients and the doctors in case the vital parameters of the patients exceed the predefined thresholds.…”

Section: B Related Workmentioning

confidence: 99%

PPS-ADS: A Framework for Privacy-Preserved and Secured Distributed System Architecture for Handling Big Data

Ahad

Biswas

2018

International Journal on Advanced Science, Engineering and Information Technology

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The exponential expansion of Big Data in 7V's (velocity, variety, veracity, value, variability, and visualization) brings forth new challenges to security, reliability, availability, and privacy of these data sets. Traditional security techniques and algorithms fail to complement this big gigantic data. This paper aims to improve the recently proposed Atrain Distributed System (ADS) by incorporating new features, which will cater to the end-to-end availability and security aspects of the big data in the distributed system. The paper also integrates the concept of Software Defined Networking (SDN) in ADS to effectively control and manage the routing of the data item in the ADS. The storage of data items in the ADS is done based on the type of data (structured or unstructured), the capacity of the distributed system (or coach) and the distance of coach from the pilot computer (PC). In order to maintain the consistency of data and to eradicate the possible loss of data, the concept of "forward positive" and "backward positive" acknowledgment is proposed. Furthermore, we have incorporated "Twofish" cryptographic technique to encrypt the big data in the ADS. Issues like "data ownership," "data security, "data privacy" and data reliability" are pivotal while handling the big data. The current paper presents a framework for a privacy-preserved architecture for effectively handling the big data.

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Big Data Security Intelligence for Healthcare Industry 4.0

Cited by 118 publications

References 20 publications

The Business Model and Innovation Analyses: The Sustainable Transition Obstacles and Drivers for the Hospital Supply Chains

The Business Model and Innovation Analyses: The Sustainable Transition Obstacles and Drivers for the Hospital Supply Chains

Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions

PPS-ADS: A Framework for Privacy-Preserved and Secured Distributed System Architecture for Handling Big Data

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